슬랩의 균열도 향상과 연료 절감을 위한 직접가열식 가열로 내 온도 분포의 최적 설계

Abstract

Since the reheating furnace consumes a large amount of energy to heat up the slabs, it is very important to find an optimal temperature patterns in the furnace for energy saving as well as uniform target temperature at the exit of the furnace. In this study, the temperature profiles in the slab are determined by solving the transient two-dimensional heat conduction equation in conjunction with boundary conditions with total heat exchange factors. The design of optimal temperature patterns is performed by using three optimization algorithms, which consist of a micro genetic algorithm (μ-GA), conjugated gradient method (CGM) and sequential linear programming (SLP), to identify the optimal results obtained from each algorithm. It can be seen that the consistent optimal results for each optimization algorithm are produced with the uniform target temperature of the slab and energy saving.